TransNeXt是一个层次化的视觉骨干网络,将聚合注意力作为token mixer,将卷积GLU作为channel mixer,采用生物视觉紧密对齐的视觉建模方法,以减轻潜在的模型深度退化,并实现接近人类中央凹视觉的信息感知。TransNeXt的提出解决了许多高效ViT模型的深度退化效应问题,即无法通过堆叠形成足够的信息混合,即使有深层的层堆叠,它们的窗...
TransNeXt: Robust Foveal Visual Perception for Vision Transformers 作者:Dai Shi(一位独立研究员) 代码:https://github.com/DaiShiResearch/TransNeXt 论文:https://arxiv.org/abs/2311.17132 CVPR 2024 论文和开源项目合集请戳—>https://github.com/amusi/CVPR2024-Papers-with-Code 由于残差连接的深度退化效应...
论文地址:https://arxiv.org/abs/2311.17132 GitHub地址:https://github.com/DaiShiResearch/TransNeXt 科技 计算机技术 人工智能 研究生 AI 论文 深度学习 炽焰天穹《Angel Beats!》联动决定! CD.021125 今天也要拉普拉斯 上个月缝了一下 涨了一个点 ...
Official PyTorch implementation of "TransNeXt: Robust Foveal Visual Perception for Vision Transformers" [CVPR 2024] . 🤗 Don’t hesitate to give me a ⭐️, if you are interested in this project! Updates 2024.06.08 We have created an explanatory video for our paper. You can watch it on...
Official PyTorch implementation of "TransNeXt: Robust Foveal Visual Perception for Vision Transformers" [CVPR 2024] . 🤗 Don’t hesitate to give me a ⭐️, if you are interested in this project! Updates 2024.06.08 We have created an explanatory video for our paper. You can watch it on...